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Customer Engagement Applications Engineer - Wafer Inspection & Metrology

kla · Tainan City

New
Senior 🇬🇧 English

Job description

About the role

KLA, a global leader in electronics for the semiconductor manufacturing ecosystem, is looking for a customer-focused, technically adept and relationship-driven Customer Engagement Application Engineer to join its global team supporting wafer inspection and metrology solutions. This is a front-line, customer-facing role where you act as the trusted technical advisor and strategic partner to customers, helping them adopt products and solve complex challenges.

Key responsibilities

  • Serve as the primary technical interface between KLA and customers, building trust through consistent, high-quality support.
  • Deliver applications support for wafer inspection and metrology tools at customer fabrication facilities.
  • Lead customer engagements such as product evaluations, new tool introductions and drive competitions.
  • Drive customer success through acceptance tests, recipe development, hands-on training and pre-sales technical enablement.
  • Cultivate strong customer relationships through onsite support and alignment of solutions to technical needs.
  • Co-author technical papers with customers and present at global industry symposiums.
  • Develop and share Best Known Methods, SOPs and technical documentation for global Field Applications teams.
  • Bridge customer feedback with engineering, sales and marketing, and report regional insights and escalate field issues.

Required profile

  • Master's degree in Physics, Optics, Engineering, Material Science or a related field; semiconductor process knowledge is a strong plus.
  • Proven experience in customer-facing technical roles with a track record of building customer relationships.
  • Willingness to work in semiconductor cleanroom environments.
  • Fluent English, able to communicate clearly by email, video call and in person.

Required skills

  • Technical problem-solving, project execution and cross-functional collaboration.
  • Advanced analytical and statistical thinking for data-driven decisions.
  • Project management, leadership and organizational skills.
  • Ability to manage multiple priorities in a fast-paced, global environment.

Questions fréquentes

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Source : ats:workday

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Published 1 day ago

Expires 1 month from now

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kla

Tainan City